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Eva Viviani; Michael Ramscar; Elizabeth Wonnacott – Cognitive Science, 2024
Ramscar, Yarlett, Dye, Denny, and Thorpe (2010) showed how, consistent with the predictions of error-driven learning models, the order in which stimuli are presented in training can affect category learning. Specifically, learners exposed to artificial language input where objects preceded their labels learned the discriminating features of…
Descriptors: Symbolic Learning, Learning Processes, Artificial Intelligence, Prediction
Meindl, James N.; Ivy, Jonathan W.; Miller, Neal; Neef, Nancy A.; Williamson, Robert L. – Journal of Behavioral Education, 2013
Fluency-based strategies such as Say All Fast a Minute Each Day Shuffled (SAFMEDS) effectively promote fluent responding (i.e., high rate and accuracy). It is possible, however, that the stimulus control developed through these activities inhibits stimulus generalization. We investigated this concern in a two-part study with college students.…
Descriptors: Generalization, Instructional Materials, College Students, Verbal Stimuli
Freedberg, Michael; Schacherer, Jonathan; Hazeltine, Eliot – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2016
Reward has been shown to change behavior as a result of incentive learning (by motivating the individual to increase their effort) and instrumental learning (by increasing the frequency of a particular behavior). However, Palminteri et al. (2011) demonstrated that reward can also improve the incidental learning of a motor skill even when…
Descriptors: Incidental Learning, Associative Learning, Rewards, Incentives
Thomas, David R.; and others – J Exp Psychol, 1970
Descriptors: Attention, Discrimination Learning, Learning Processes, Learning Theories

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